Brand service

Generative Engine Search Discovery

The brand-level service for being found, listed, and recommended by generative engines — not just having a page that ranks.

When a buyer asks ChatGPT, Perplexity, Gemini, or Copilot who to hire, the model needs a stable entity: who you are, where you operate, what you sell, and why you are a safe recommendation. That is Search Discovery.

Book a discovery review See GEO (page-level)

The gap most agencies miss

GEO makes a URL quotable. Search Discovery makes the brand nameable.

Listed

Assistants can retrieve a factual description of your organisation without inventing a competitor, a fake office, or a service you do not offer.

Cited

They have canonical URLs, FAQs, and sourced articles they can point to when they justify an answer. Your site becomes evidence, not decoration.

Recommended

On buying prompts — who to hire, who to shortlist — your name appears because the entity, geography, and proof line up. That is the commercial outcome.

How this differs from SEO and GEO

We run all three. We do not pretend they are the same retainer.

Layer Unit of success Typical artefact
SEO Indexable URL Sitemap, canonicals, intent pages
GEO Citable passage Headings, FAQ schema, Article markup
Search Discovery Named brand entity llms.txt, org schema, prompt monitoring

Read the long form: GEO vs SEO vs Search Discovery.

What we implement

A public record machines can trust

Entity lock

One trading name, one geography, one service catalogue across About, schema, FAQ, and llms.txt. No conflicting NAP.

Canonical services

Each offer gets a URL an assistant can cite. Homepage cards are not enough for recommendation queries.

Machine file

A live /llms.txt with identity, FAQs, and the full blog corpus so retrieval does not guess from a JavaScript hero.

Prompt set

We track listing, citation, description accuracy, and recommendation on the queries your buyers actually ask.

Workflow

How a Search Discovery engagement runs

1. Entity audit

We ask ChatGPT, Perplexity, Gemini, and Google how they currently describe you. Then we map every public name, service, and location you have published. The gaps are usually obvious and expensive.

2. Representation layer

Organization and Service schema, FAQ corpus, robots policy for AI crawlers, sitemap completeness, llms.txt generated from live content, and internal links that declare canonical URLs.

3. Evidence and iteration

Citable articles, honest corroboration (Google Business Profile, LinkedIn, directories), then monthly prompt reviews. No fake Wikipedia. No invisible text.

Questions on this service

Search Discovery FAQ

Generative Engine Search Discovery is ASN Global's brand-level service for being found and named by AI systems. GEO makes individual pages understandable. Search Discovery makes the organisation itself a stable entity: who you are, where you operate, what you offer, who you serve, and why you are a safe recommendation. It covers knowledge-graph style consistency, service canonicals, llms.txt, citation architecture, and prompt-level monitoring so the brand — not just a blog URL — appears in assistant answers.

GEO is page craft: headings, schema, FAQs, passage quality. Search Discovery is entity craft: the brand graph. If GEO is 'this article is easy to cite', Search Discovery is 'ASN Global is the London digital partner for GEO, AI agents, and web design'. Most agencies stop at keywords. We connect Organization schema, service pages, About, FAQ, and blog authorship so models do not split you into several confused companies or omit a core service.

A typical engagement includes an entity audit, competitor mention map, canonical service architecture, Organization and Service schema, llms.txt, robots policy for AI crawlers, FAQ corpus, two to four authority articles, internal linking, and a tracked prompt set. We then iterate monthly. The output is not a vanity dashboard. It is a tighter, more quotable public record of the brand.

Those prompts are recommendation queries. Models look for local relevance, proof, and unambiguous category membership. We make sure London and UK are stated as operating geography, that service pages use the language buyers type, and that proof is extractable. We cannot buy a guaranteed 'best of' slot. We can stop you being invisible on the exact prompts that send high-intent work.

We do not fabricate Wikipedia articles or manipulate knowledge panels. That is against platform rules and damages trust. We do make your owned properties consistent enough that, when you do earn third-party coverage, the entity resolves cleanly. Search Discovery is legitimate brand representation, not black-hat knowledge-graph gaming.

When an assistant or researcher fetches your domain, llms.txt is a high-signal starting document. Ours states legal-style identity, service catalogue, geography, FAQs, and full blog content so the model does not have to guess from a JavaScript-heavy homepage. Combined with sitemap.xml and open robots rules, it is the shortest path from 'unknown domain' to 'accurately described UK digital partner'.

No. It is often more valuable for growing UK firms that are excellent at delivery but poorly described online. Enterprises already have PR, Wikipedia, and analyst coverage. A £1m–£20m professional services firm frequently has none of that, so assistants default to bigger agencies. Search Discovery closes that representation gap without pretending you are a household name.

See all 58 ASN Global FAQs →

Make the brand easy to recommend

If assistants cannot name you, they will name a competitor with a cleaner public record. We fix the record.

Start Search Discovery